Implementing word2vec: skipgram model using tensorflow core API
Implementing word2vec: skipgram model using tensorflow core API
Blog posts
The word2vec model uses the skipgram approach to train and generate the word vectors. The implementation uses Tensorflow Core API. The nework is a computational graph with a single hidden layer.
A good example on how to use tensorflow core API to build neural networks and how to train them